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minds.ai Presents at SemiCon West
On Thursday, July 14 our CEO, Sumit Sanyal, will give a talk at the SEMICON/FLEX Conference in San Francisco. Sumit will talk about how Deep Learning will reshape the fab scheduling and dispatching process during the “Turning the Data-AI Hype Into Manufacturing Value for Microelectronics” session in the “Smart Manufacturing Pavillion”. The title and abstract […]
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AAIH Releases “The Lifecycle of an AI System in Healthcare” Whitepaper
The Alliance for Artificial Intelligence in Healthcare (AAIH), the global advocacy group for responsible adoption of AI/ML technology across life sciences and healthcare, has released their latest whitepaper “The Lifecycle of an AI System in Healthcare”.
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How Vestas is using AI to Capture more Energy
In this blog post we want to highlight a recent interview by Microsoft with Vestas on how HPC and AI are driving innovation.
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ML/RL Success Stories – 3
Today’s blog covers two recent reinforcement learning projects, both published in the top scientific magazine Nature.
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minds.ai wins Microsoft Partner of the Year Award
We are proud to announce that we have won the Microsoft Denmark & Iceland Partner of the Year 2022 Award in Digital Transformation.
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ML/RL Success Stories – 2
In this second instalment we take a look at how ML is used for weather predication and mental health improvements.
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Using DeepSim and Modelon Impact to replace PID controllers with RL controllers
Read how minds.ai used the Modelon Impact software, integrated into our DeepSim platform, to develop an RL controllers.
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Customer Success Story: Vestas
Read how Vestas supercharged its wind farm control models with minds.ai’s product DeepSim. We partnered up with Microsoft to help Vestas.
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Introducing ML/RL Success Stories
In this new blog series we’ll regularly take a look at publications that show the success of applying machine/reinforcement learning.
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DeepSim 2.3 Release
We are pleased to announce the release of version 2.3 of the minds.ai DeepSim platform.
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The commercial reality behind DeepMind’s paper: “Reward is enough”
The paper from DeepMind titled “Reward is Enough” is making waves in the Artificial Intelligence community, here we give our feedback.
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minds.ai Presents at Ray Summit 2021
We will give a talk during the 2021 Ray Summit conference. The summit covers topics around ML in product, MLOps, deep & reinforcement learning, cloud computing, server-less, and other uses of the Ray libraries.
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DeepSim 2.1 Release
Highlights of the DeepSim 2.1 release, new features, more examples and optimization solutions.
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Honda R&D publishes first results of Autonomous Emergency Steering trained using DeepSim
Honda R&D publishes their work on the development of an autonomous emergency steering system developed with the minds.ai DeepSim platform.
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DeepSim Introductory Videos
minds.ai is proud to present the latest efforts of our creative department: Three new videos that introduce DeepSim.
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Optimization of Hybrid-Electric Vehicle range with DeepSim
Read the whitepaper about how DeepSim improves the fuel efficiency and range, two of the most important metrics, in the automotive industry.
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Reinforcement Learning @ Hyve Catalina Virtual Workshop
Presentation on reinforcement learning and why it requires so much computing power.
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DeepSim 2.0 – Deep learning based platform to generate superior controller software, faster
minds.ai is proud to present the availability of the second version of the DeepSim platform. The second version improves upon the strengths of the first version, takes advantage of the latest cloud technology innovations and is suitable to a broader range of application verticals.
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Connecting Zoom, Google Drive and Slack for easy access to meeting recordings
At minds.ai we developed a tool to connect Zoom, Google Drive and Slack to help keep track of your meeting recordings.
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DeepSim improves hybrid car range with a software update
For electric and hybrid vehicle manufacturers the top key performance indicator (KPI) is range. The minds.ai DeepSim platform was used to create controller software which managed the power source (IC engine vs battery).
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minds.ai’s Molecule Property Predictor ‘Netrin’ optimised with Intel DL libraries
Netrin uses graph convolutional neural networks (GCNN) to predict properties of molecules and in doing so can be applied to drug discovery, potentially speeding up molecule screening and reducing wet lab costs.
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Deploying SSD mobileNet V2 on the NVIDIA Jetson and Nano platforms
This article describes a list of fixes that one can apply in order convert SSD-MobileNet V2 via NVIDIA TensoRT.
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minds.ai attends Ai4 Healthcare 2019
Join minds.ai at the Ai4 Healthcare conference on Nov 11 and 12, 2019
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minds.ai attends TensorFlow World 2019
Join minds.ai at the TensorFlow World 2019 conference on Oct 30-31, 2019.
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minds.ai attends TensorFlow Contributor Summit 2019
Join minds.ai as we attend the TensorFlow Contributor Summit 2019 on October 28-29, 2019, in Santa Clara, CA, USA.
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minds.ai attends Biotech Week Boston 2019
Come join minds.ai at Biotech Week Boston 2019 on September 9-12, 2019, at Boston, MA, USA.
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minds.ai attends Hexagon Live 2019
Come join minds.ai at the Hexagon Live 2019 Conference in Las Vegas, NV, USA on June 10-14, 2019.
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Driving Deep Learning and Drug Discovery with Minds.ai and Intel – Intel on AI episode 15
Sumit Sanyal, Founder/CRO at Minds.ai, joins Intel on AI to discuss how Minds.ai is driving drug discovery with deep learning with Netrin.
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minds.ai attends AI in the Enterprise: Intel® AI Builders Showcase
Come join minds.ai at the Intel® AI Builders Showcase event in New York City, NY, USA on April 15-18, 2019.
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minds.ai attends GTC 2019
Come join minds.ai at the GPU Technology Conference
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minds.ai attends the TensorFlow Dev Summit 2019
Come join minds.ai at the TensorFlow Dev Summit in Sunnyvale, CA, USA on March 6-7, 2019.
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AAIH Announces Inaugural Board of Directors and Officers After Formal Launch
minds.ai recognized as a founding member of the Alliance for Artificial Intelligence in Healthcare (AAIH).
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minds.ai attends Intel® AI DevCon 2019 Munich
Join minds.ai at the Intel® AI DevCon 2019 Munich conference on January 23, 2019, in Munich, Germany.
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minds.ai attends Google Cloud Summit 2018
Join minds.ai at the Google Cloud Summit 2018 in Amsterdam, Netherlands, on November 28, 2018.
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minds.ai attends International Conference for High Performance Computing 2018
Join minds.ai at the International Conference for High Performance Computing 2018 in Dallas, TX, USA, on November 11-16, 2018.
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Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI
TensorFlow has been the most widely adopted Machine/Deep Learning framework. However, little exists in the literature that provides a thorough understanding of the capabilities which TensorFlow offers for the distributed training of large ML/DL models that need computation and communication at scale.
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minds.ai attends the TensorFlow Dev Summit 2018
Come join minds.ai at the TensorFlow Dev Summit in Mountain View, CA, USA on March 30, 2018.
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minds.ai attends GTC 2018
Come join minds.ai at the GPU Technology Conference
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RE•WORK Deep Learning Summit SF 2018
Come join minds.ai at the RE•WORK Deep Learning Summit San Francisco 2018 on January 26-27, 2018, in San Francisco, CA, USA.
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minds.ai contributes to TensorFlow: MPI based communication path for tensor exchange operations
Adds an additional communication path to TensorFlow that allows Tensors to be exchanged using MPI.
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minds.ai attends GTC 2017
Come join minds.ai at the GPU Technology Conference in San Jose, CA, USA on May 8-11, 2017.
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RE•WORK Deep Learning Summit SF 2017
Come join minds.ai at the RE•WORK Deep Learning Summit San Francisco 2017 on January 26-27, 2017, in San Francisco, CA, USA.
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minds.ai attends the Big Data London 2016
Come join minds.ai at the Big Data London event in London, UK on November 3-4, 2016.
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minds.ai’s Deep Neural Network Training Software Shatters Industry Benchmarks
minds.ai creates record-breaking scalable neural network training infrastructure platform with support from partners.
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minds.ai attends GTC 2016
Come join minds.ai at the GPU Technology Conference in San Jose, CA, USA on April 4-7, 2016.
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Accelerating Deep Learning with HPC
minds.ai an early stage startup building software and hardware infrastructure to deploy, manage and accelerate Deep Learning Networks.
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Startups Aim to Exploit a Deep-Learning Skills Gap
The latest machine-learning techniques promise to transform whole industries by making it easier for computers to recognize patterns in data
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GPU PLATFORMS SET TO LENGTHEN DEEP LEARNING REACH
Sumit Sanyal, CEO and Chief Architect at minds.ai, emerges from stealth and discusses deep learning and how it is the vertically integrated.
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Startup to Offer Neural Network Training in the Cloud
A startup called minds.ai today announced how it plans to tackle that problem: by allowing customers to train their neural network on its speed cloud-based GPU cluster.
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minds.ai Introduces Deep Learning Training Platform That Slashes Training Times
SANTA CRUZ, Calif.–(BUSINESS WIRE)–minds.ai inc. (pronounced: maɪndz-aɪ), developers of an innovative deep neural network training…
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Why Memory and Mimicry Are The Next Big Frontiers in Artificial Intelligence
Reinforcement learning will be the next generation of artificial intelligence, according to Sumit Sanyal, CEO of a startup called minds.ai,
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minds.ai Teams with Orange SV and Echostreams on Experimental Prototype of New ML Platform
minds.ai Platform Offers Disruptive Acceleration That Slashes Neural Network Training Times from Days and Weeks to Hours and Minutes.
